Fraud & risk analytics · FingerprintJS, Inc.

Fingerprint

Device fingerprinting and identification API that recognizes returning browsers/devices even without cookies or logins.

Visit Fingerprint Alternatives

Fingerprint is a device-intelligence API, not a full fraud-decisioning suite: its sole core signal is device fingerprinting, generating a persistent visitor ID from browser, hardware and network characteristics that survives cookie deletion, incognito mode and app reinstalls. Customers plug that identifier into their own fraud, bot-detection or personalization logic to flag account takeover, promo abuse, fake account creation and bot traffic. It ships as SDKs for JavaScript, React, Node.js, Python, Go, Java, Flutter and native mobile, deployed via a cloud API, and maintains an open-source client-side fingerprinting library alongside the paid Pro/Enterprise identification service. Compared with Sift, SEON or Sardine, which bundle scoring, rules and case management, Fingerprint is a narrower, developer-first building block that other fraud stacks (including several vendors in this category) integrate as one input signal.

At a glance

Vendor FingerprintJS, Inc.
Pricing model Free tier + paid plans
Free tier Yes
Deployment Cloud
Open source No
Best for Engineering teams that want a single reliable device-identification signal to feed into their own fraud or bot-detection logic.

Pricing

Self-serve monthly plans billed by API call volume, with a free tier and pay-as-you-go overage; custom enterprise tier above that.

Plan Price Notes
Free $0/month Up to 1,000 API calls/month, 14-day Pro Plus trial, 500K Android API calls/month free
Pro Plus $99/month for 20,000 API calls Additional calls at $4 per 1,000; Smart Signals for Android and iOS
Enterprise Custom pricing Custom API limits, 99.9% SLA, proxy integrations, dedicated customer success manager

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features

  • Browser and mobile device fingerprinting/visitor identification
  • Persistent visitor ID surviving cookie clears and incognito mode
  • Bot and automation detection
  • Smart Signals for Android and iOS risk context
  • CDN-proxied collection (Cloudflare, Akamai, Fastly, CloudFront, Azure) to resist ad blockers
  • SDKs for major web and mobile platforms
  • Open-source client-side fingerprinting library
  • Real-time identification API

Integrations

Profile last reviewed September 21, 2026

Alternatives

SEON Fraud prevention and AML platform built around digital footprint analysis and device fingerprinting rather than ML alone. Sift ML fraud-scoring platform that leans on a cross-customer consortium network plus device and behavioral signals. Sardine Fraud and AML platform leaning on behavioral biometrics, device intelligence and payment/on-chain risk signals. Unit21 No-code rules and case-management platform that lets fraud/AML ops teams build detection logic and investigate without engineers.

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Terms to know

Anomaly detection Identifying data points or patterns that deviate significantly from expected or normal behavior. Data quality The degree to which data is accurate, complete, consistent and fit for the purpose it is being used for. Analytics engineer A role that builds and maintains the transformed, tested data models analysts and dashboards rely on. Bot traffic Website activity generated by automated programs rather than human visitors, ranging from crawlers to fraudulent scripts. Browser fingerprinting Identifying a device from browser and device characteristics, such as screen size or fonts, without setting a cookie.

Related guides

How to choose a fraud detection tool Fraud platforms split by primary signal — biometrics, device data, consortium networks, compliance case management — and by who they're built for.